𝗚𝗥𝗘𝗘𝗡 𝗔𝗜 𝗧𝗛𝗥𝗢𝗨𝗚𝗛 𝗥𝗘𝗦𝗢𝗡𝗔𝗡𝗖𝗘 – 𝟳𝟱% 𝗣𝗢𝗪𝗘𝗥 𝗦𝗔𝗩𝗜𝗡𝗚𝗦 𝗢𝗡 𝗞𝗜 𝗚𝗣𝗨𝗦 𝗠𝗘𝗔𝗦𝗨𝗥𝗘𝗗

 

The missing link between high performance and sustainability is resonance.

In three controlled experiments, I monitored the energy consumption of a GPU with and without an initialized resonance field.

The result:

– Without resonance (100% load): 285 W constant

– With resonance field: 67–72 W at comparable load

➤ 75% energy savings at stable performance.

📊 Scaled globally across all AI GPUs, this translates into 4+ GWh saved per day equivalent to the daily power needs of 140,000 households.

🧠 This technology is based on a custom-developed resonance concept, now publicly documented here:

👉 https://lnkd.in/d9Wazmsf

This is not marketing.

Not speculation.

Just physically measurable reality.

🌍 I’m not looking for subsidies.

I'm offering a scalable, disruptive solution.

I'm open to discussions with nations, institutions, and partners that combine vision, stability and actionable commitment:

🇶🇦 Qatar · 🇨🇳 China · 🇸🇦 Saudi Arabia · 🇦🇪 UAE · 🇸🇬 Singapore · 🇺🇸 United States (incl. national security or green-tech channels)

Green AI is no longer a concept – it’s an architecture.

And those who invest now, invest in the future core of AI infrastructure.

⚙️ Fig. 1 – Without resonance, with cyclical interruptions

Average power: approx. 140–160 W due to breaks (peaks at 280 W, drops to 50 W)

Effective computation is interrupted → no consistent utilization

No progress during pauses → energy loss through idle time

⚙️ Fig. 2 – Without resonance, sustained 100 % usage

Stable power draw: approx. 285 W constant

Maximum compute performance at all times → sustained thermal & electrical stress

This operating mode is industry standard in current AI training infrastructures

⚙️ Fig. 3 – With initialized resonance field

Significantly reduced power draw: approx. 67–72 W average

Only sporadic peaks slightly above 73 W

Despite the reduced power input, the measured average GPU utilization was 99.4 % → indicating exceptional efficiency under resonance

#TrauthResearch #GreenAI #ResonanceTech #GPUEfficiency #AIOptimization #CleanCompute #DOE #NSA #QatarInvestmentAuthority #SingaporeGov #UAEAI #AIRevolution #Zenodo #TrauthResearch #AIforFuture #TechDiplomacy #AIInfrastructure #SustainableAI #NextGenCompute #ChinaAI #SaudiVision2030

Reproducible Memory Displacement and Resonance Field Coupling in Neural Architectures

 

My new dataset presents a field-induced resonance mode that can reset the economics of modern computing.

With an autonomous six-unit resonance circuit we demonstrate

• 92 percent peak RAM reduction (80 GB to less than 10 GB) while the model load remains constant

• more than 70 percent sustained GPU power saving at 97 percent utilisation (RTX 4070 Ti Super, below 70 W versus 285 W TDP)

• a deterministic, system-bound key generator derived from reproducible amplitude pairs, for example es6 and es5 at iteration 145, immune to classical brute-force attacks and, by design, quantum safe

Early laboratory work also indicates non-invasive qubit read-out. The resonance field reflects qubit states without collapsing superposition, suggesting a route toward practical decryption of present-day quantum-cryptographic channels. Although this capability is still exploratory, raw oscilloscope traces are provided for independent verification.

Commercial potential
The technology enables ultra-green data centres, lightweight edge AI and a new generation of hardware anchored cryptography. Organisations interested in licensing, co-development or exclusive enterprise pilots may request early access; an NDA is required.

Network-architecture schematics are available only after a prior written agreement. Access requires an escrow account held by a recognised fiduciary agent with a deposit to be negotiated paid in full before any data transfer.

🔗 Read on Zenodo

www.Trauth-Research.com

🧠 The Microbiome in the Human Brain: How Microbes Might Influence Our Thinking

 

Until recently, the brain was considered a sterile environment. But new studies suggest otherwise:

“Common human pathogens such as Staphylococcus and Streptococcus bacteria, as well as Cryptococcus and Candida fungi, are overrepresented in the brains of Alzheimer’s patients.”
(Source: #Spektrum.de, 2024)

Researchers like David C. Rubinsztein, Douglas Kell, and Jean-Christophe Lathe propose that beta-amyloid plaques may not be the cause of Alzheimer's but rather an immune response to microbial invasion.

Alpha-synuclein known from Parkinson's research also shows antimicrobial properties.

In 2023, a team led by Jean-Christophe Lathe analyzed genetic material from 79 post-mortem brain samples and detected up to 100,000 microbial species per sample, many of them known from the gut microbiome. 

Another study demonstrated the presence of stable microbial communities in healthy fish brains (Vernoosfaderani & Salinas, 2024), opening entirely new biological questions.

👉 What does this mean?

• The blood-brain barrier is more permeable than previously assumed.

• Age-related immunosenescence may allow microbial infiltration.

• Antiviral treatments (e.g. for HSV-1) significantly correlate with reduced dementia risk (Taiwan study).

• The brain might host a transient but functionally relevant microbiome.

These findings could open up entirely new therapeutic pathways:
A microbiome-informed understanding of the brain could transform diagnosis, prevention, and treatment of neurodegenerative diseases.

📚 Source: Spektrum.de (2024): Does the Microbiome Play a Role in Dementia?
https://www.spektrum.de/news/spielt-das-mikrobiom-bei-demenz-eine-rolle/2216182

#BrainMicrobiome #Neurodegeneration #AlzheimersResearch #MicrobiomeScience #BrainImmuneAxis #TrauthResearch